Time Series Plot
TODO: Explain the default plot.
# Loading the demo data set
data <- demodata()
# Faking ffx (wind gusts) as we don't have them in the data set.
data$ffx <- runif(nrow(data), 1.4, 1.7) * data$ff
data$crest_ffx <- runif(nrow(data), 1.5, 2.5) * data$crest_ff
# Show data set
head(data, n = 3)## dd ff p rh t crest_dd crest_ff crest_p
## 2010-01-18 09:00:00 338 1.2 899.8 75 -0.9 3 5.6 787.7
## 2010-01-18 10:00:00 18 0.1 899.9 66 0.2 344 5.3 787.9
## 2010-01-18 11:00:00 344 0.8 899.1 63 0.7 360 6.0 787.3
## crest_rh crest_t diff_t ffx crest_ffx
## 2010-01-18 09:00:00 93 -8.7 2.47 1.8361914 11.30778
## 2010-01-18 10:00:00 90 -8.0 2.07 0.1581422 10.84028
## 2010-01-18 11:00:00 80 -7.7 1.87 1.2052541 11.32779# Estimate a foehnix classification model
filter <- list(dd = c(43, 223), crest_dd = c(90, 270))
mod <- foehnix(diff_t ~ ff + rh, data = data, filter = filter,
switch = TRUE, verbose = FALSE)
# Plotting windroses
tsplot(mod, start = "2015-05-01", end = "2015-05-10")
Different Styles
TODO: The style argument (input to tsplot.control) allows to change between different styles provided by the foehnix package. The styles can be modified by the user (see next section).
tsplot(mod, start = "2015-05-01", end = "2015-05-10",
style = "advanced")
tsplot(mod, start = "2015-05-01", end = "2015-05-10",
style = "bw")
Modify styles
TODO: No matter which style one takes, one is always allowd to overwrite specific properties of such as line type, color, …. This allows for high customization of the plots.
As an example we change the appearance of the observed air temperature (t) and disable two parameters (crest_t and diff_t) by setting them to NULL.
devtools::load_all("../")## Loading foehnixtsplot(mod, start = "2015-05-01", end = "2015-05-10",
t = list(col = "blue", lty = 3, lwd = 4),
crest_t = NULL, # Disable crest temperature
diff_t = NULL, # Disable temperature difference
style = "advanced")
The same can, of course, be done with the black and white style:
tsplot(mod, start = "2015-05-01", end = "2015-05-10",
t = list(col = "orange", type = "o", pch = 18),
style = "bw")
Highlight Wind Sectors
TODO: Wind sectors (as for the windrose plot) can be used to set specific highlights. This optional argument is also forwarded to tsplot.control.
tsplot(mod, start = "2015-05-01", end = "2015-05-10",
windsector = list("Sector A" = c(30, 120), "Sector B" = c(200, 260)),
foehnix_windsector = list(col = "orange"), # Custom color
style = "bw")